mBIDS: Comprehensive BI Solution for Manufacturing

Business Intelligence for Decision Support

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Industry DriversCustomer Expectations• How do I meet the need for

personalized products & services?

• What can I do to improve the speed and visibility of product shipments?

Cost Pressures• What is the right balance of

internal and outsourced production for reducing costs?

• How can I leverage lean techniques across the enterprise to improve costs?

Information Visibility• How do I provide real-time

information visibility to trading partners and employees?

• How do I increase the use of self-service processes?

DistributionChannels

SupplyBase

Mfg Customer

Global Competition• How can customer service

enable product differentiation?

• What is the best way to manage multi-channel demand across a fragmented supply network?

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Driving BI Spending in ManufacturingKey Business Requirements

• Enhancing Profitable Growth• Effective geographic expansion

• Enhanced customer satisfaction

• Optimized resource usage

• Improved Operational Efficiencies• Minimize procurement costs

• Increase manufacturing throughput, workforce productivity

• Decrease days sales outstanding (DSO)

• Enable Real-time Visibility• Shrink LOB decision cycle time, time-to-market

• Reduce errors in orders, production scheduling, inbound and outbound freight

• Support for continuous improvement via collaboration

Employees

Suppliers Customers/Patients

Partners

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Challenges in Enhancing Profitable Revenue GrowthCHALLENGES RESULTING IN

• Order entry system is manual, error-prone and requires manual approval

• Order entry system does not compute product margins and promised delivery dates

• Large number of duplicate orders are entered into system each week

• Sales, customer service, service and marketing are unable to get a 360º view of the customer

• Sales reporting is manual, tedious to produce and not real-time

• Time to market for new products and services is much higher than industry benchmark of 9 months

• Company does not have accurate records of the install base and their product usage history

• The online configurator does not offer guided selling to customers

• Geographic expansion into overseas market will be challenging

• Potential missed or lost sales• Sub-optimal customer

satisfaction, leading to further lost sales

• Longer product introduction times result in missed high-margin product sales

• Incorporating customer needs and inputs into new product/service designs is difficult

• Unable to promote products that optimize use of mfg resources

• High number of returns• Sub-optimal use of time by

sales, customer service, and marketing

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Challenges in Improving Operational EfficienciesCHALLENGES RESULTING IN

• Manufacturing scheduling and sequencing do not comprehensively incorporate all inputs

• Manual process for intra-divisional and corporate-driven purchases

• Forecasting and S&OP are essentially non-existent• BOM’s are inaccurate in system and thus all production

scheduling is Excel- and manual-driven• Manual generation of metrics to support vendor

scorecard, no drill down or capture of ASN’s• Manual processes for freight management• Inventory tracking is not integrated in existing IT

systems• Warranty tracking is manually done and not integrated• Very limited visibility on end-customer demand• ECN process is manual and cumbersome• Finance, accounting, AR, AP, costing, incentive

compensation and fixed-asset tracking processes are manual, time-consuming and expensive

• Decreased manufacturing throughput and productivity

• Increased procurement costs• Inventory inaccuracies• High inventory levels and

inventory carrying costs• Increasing freight/transportation

and logistics costs• Increasing warranty costs• Increasing days sales

outstanding higher cost of collections

• Inaccurate commissions and SPIFF’s payments (more likely over-payments rather than under-payments)

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Challenges in Improving Real-Time VisibilityCHALLENGES RESULTING IN

• No visibility on total end-customer demand• Very limited collaboration with end-customers on innovation

design and new products• Extensive manual re-keying of data from faxed and

mailed/paper orders, Excel and numerous operational and financial in-house systems today

• Integration of and reporting out of these numerous systems is a large drain on IT and Finance/Accounting resources – plus, huge systems complexity, inefficiencies and costs

• Customer information resides in multiple, non-integrated systems and locations

• Bar coding & RFID usage is very limited• Data sharing with suppliers done primarily via fax, limited

electronic data exchange• Lack of real-time, accurate workforce performance

evaluations and compliance reporting

• Management unable to make real-time decisions without dashboards and drill-down

• No real-time reporting/analysis• High number of errors in orders,

AR, production scheduling, inbound and outbound freight, and this impacts finance/acctng (books, productivity, profitability)

• Limited supply chain visibility increased supply chain costs

• Limited collaboration with suppliers increases time-to-market and product costs

• Limited collaboration with customers prevents incorporating customers’ ideas to improve and/or accelerate successful new product/service releases

• Decreased workforce productivity

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Business Intelligence Trends

• BI standardization

• While BI has been deployed departmentally, IT organizations are driving enterprise BI standards

• BI to the masses

• Deploying BI to the “corporate middle class” has started• BI meets applications and processes

• Analytic tools, application package, and integration worlds continue to collide

• Predictive and applied “inline” analytics

• ITOs will put a bigger focus on predicting and integrating analytic solutions to solve business problems at the point of interaction instead of providing retrospective analysis

Source: Andreas Bitterer, Gartner Group, Business Intelligence: Trends, Directions and Best Practices, Sep 2006

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BI Continuum: On the Way to Pervasive BI

Analytics driving process

optimization

BI driving business

transformationIT driving BI CPM driving

strategy Signposts:

BI Continuum

Networked & Collaborative:

Constantly augmenting &

optimizing performance

Specialists, analysts

Managers, customers,

partners

Operations, point of work Pervasive

Active: Intelligent

decisions made quickly

Passive:Delivery of information

Users:

Role of BI:

Linked:Integrated

plans & analyses

Decide AlignMeasure Optimize InnovateDiscover

StrategyAnalysts/Mgmt. Process

Source: Andreas Bitterer, Gartner Group, Business Intelligence: Trends, Directions and Best Practices, Sep 2006

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Major Drivers and Inhibitors to Pervasive BI

• Skills• Lack of best practices and methodologies

to manage a complex and pervasive set of BI capabilities

• Users can’t understand the analysis and correctly interpret the results

• Stability and flexibility of business processes

• Low process maturity• Lack of closed-loop process management

• Silo think• Of infrastructure, applications, definitions,

rules, calculations, etc.• “NIH” syndrome

• Spreadsheet as information systems “duct tape”

• Sponsorship• Limited vision and perceived business

value/impact

• Consumerization of use of information• High expectation of ability to use

and access• Standardization/commoditization

• Basic BI platform functionality (i.e., reporting, query, dashboards) broadly available & “good enough”

• Modularization• BI functionality becomes more

componentized and service-oriented• Users and developers can more easily

customize• Users can add value in pursuit of

self-interest• Networked collaboration

• Fosters environment of innovation and contribution

• Ability to easily share and manage user insights and contributions across wide numbers of users and applications (not just internally, either)

Source: Andreas Bitterer, Gartner Group, Business Intelligence: Trends, Directions and Best Practices, Sep 2006

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Shift Focus From Individual Projects to

BI as Core Competency

BusinessSponsor

CPMApps.

EmbeddedAnalytic

EmbeddedAnalytic

EnterpriseArchitects

Compliance

BIApps.

ServiceProviders

CompetencyCenter

BIApps.

Function of BI Competency Center

– Provide vision and strategy and business plan for integrated BI initiatives.

– Define standards; establish overall BI applications architecture.

– Define and manage product portfolio.

– Program management across business, IT and service providers.

– Define information standards: data, business rules, governance, quality …

– Drive competency and consistency via education and support.

– Make BI into a core competency.

Source: Andreas Bitterer, Gartner Group, Business Intelligence: Trends, Directions and Best Practices, Sep 2006

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mBIDS – Next-Generation BI Solution for Maufacturing

• Comprehensive enterprise-wide BI platform • Data integration and warehousing• Data purity and integrity• Built-in connectivity to operational data stores• Advanced OLAP and Data Mining capabilities• Integrated with leading BI front-end tools and technologies

• Built on “Think Big - Build Step-By-Step” philosophy• Provides end-to-end Single view of business• Business process KPI driven• Rapid Development and Cost Effective

Business Intelligence for Decision Support

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ProductionAnalysis

Vendor Analysis

Shipments Analysis

Campaign Management

Point-of-Sale

Rebates Analysis

Sales Analysis

Returns Analysis

Customer Analysis

mBIDS – Key Business Process Coverage Areas

Business Intelligence for Decision Support

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mBIDS – Logical Data Model

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mBIDS Capabilities: DashboardsEncapsulation and Rendition of Enterprise BI Needs

• Dashboards on key measure• Analyze Trends for your key

measure• Analyze key measure against

product category or Rate Plans

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mBIDS Capabilities: ReportingActionable Intelligence based on KPIs and Operational Metrics

• Reports and Analytics available on key subject areas

• Templates available

for rapid deployment• Templates based on

TCS rich Domain

Expertise and BI

experience

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mBIDS Capabilities: High-end Analytics and Predictive Modeling

Customers sorted in

likelihood to purchase a

product

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Oracle:

Single, Integrated, Global, Scalable, Real-Time Repository

CRM

Distribution

Financials

ServiceSRM

PlanningERP

Data Warehouse

Demand & Order Data

SupplierData

ManufacturingData

Transportationand Logistics

Data

Financials Data & Consolidations

and

Daily BusinessIntelligence

Purchasing Data Product Data

Competition:

Cost and Complexity

Customer Data

Pricing Data

HR/HCM Data

Projects Data

Oracle’s Superior BI Architecture Designed for Business Insight and Actionable Results

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mBIDS Value: Pervasive, Real-time Insight

Executives

Managers

Front-lineEmployees

• Enterprise semantic model• Model centric vs. report centric

• Pervasive business insight• Personalized and embedded information

• Real-time predictive insight • Activity monitoring and predictive analytics

• Insight driven actions• Guided analytics enforce process

• Standards based architecture • Infrastructure integrates with yours

• Fastest time to value • Pre-packaged analytic applications

• Lowest Cost of Ownership• Faster deployment, easier maintenance, less

risk

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mBIDS Value: Actionable Insight for All Roles

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mBIDS Value: Actionable Insight for All Users

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mBIDS Value: Comprehensive Next-Generation BI Platform

SiebelOLTP

BackOffice

SAP BWOracleBAW

EnterpriseDW

DepartmentData Marts

Intelligent Request Generation and Optimized Data Access Services

Enterprise Business Model Metadata Services

Data Mining Services

Intelligent Multi-Level Caching Services

Multi-dimensional

(MDX) Sources

Other

File or XMLSources

Oracle BI Server

Real-Time Decisions Engine

Multidimensional Calculation and Integration Engine

• Single, logical view of all enterprise data (one version of the truth)

• Scalable Performance• Rich Analytical Capabilities• Centralized control, security

and visibility

• All relevant enterprise data sources

Relational (SQL) Sources

Intelligence Dashboards

Information Access, Analysis and Delivery Options

ProactiveDetectionand Alerts

MarketingSegmentation

Data Mining

Mobile Analytics

In-ContextOperational

Insight

Ad-hoc Exploration

AdvancedReporting

Web Services& Integration

Open Intelligence Interface

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TCS BI/Oracle Customers - Manufacturing

• American Honda, USA• British Petroleum, Global • Boeing, USA • Cummins, USA• Eaton, USA• Eli Lilly, USA• Goodyear, USA• GE Health Care, Global• Motorola, Global• Michelin Japan

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Gartner on TCS Business Intelligence Implementation Services MQ

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IDC on TCS (2/06)Excerpts from IDC White paper on “Partnering for Successful Business Analytics Projects”

• TCS has a robust solution implementation methodology with supportive internal business processes

• TCS develops customizable templates and other reusable assets to replicate client success stories based on industry and technology expertise

• Dedicated technology centers of excellence ensure that TCS has employees with the proper technical skills, meaningful technology partnerships, and best practices and know-how that are being captured for reuse

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IDC Names Oracle Business Analytics Leader for 2005 (11/06)

• Oracle Named Worldwide Market Share Leader in Business Analytics Software and Data Warehousing Tools (3rd consecutive year)

• Oracle's Business Intelligence (BI) solutions encompass a comprehensive, integrated set of leading products including packaged BI applications, BI platform infrastructure software, and data warehousing.

• Oracle was the largest business analytics vendor with 13.1 percent market share and revenues of nearly $2.2 billion for 2005 (IDC, “Worldwide Business Analytics Software 2006-2010 Forecast and 2005 Vendor Shares”)

• Oracle is the leader in the data warehousing tools market with 19.3 percent market share and nearly $1.9 billion in software revenue for 2005 (IDC, “Worldwide Data Warehousing Tools 2005 Vendor Shares”)

mBIDS: Comprehensive BI Solution for Manufacturing

Business Intelligence for Decision Support